无药物治疗的惊恐障碍患者24小时心率变异性及合并症分析。

N. Gündüz, Esma Akpınar Aslan, F. Eren, Hatice Sodan Turan, M. Öztürk, Ü. Tural
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引用次数: 2

摘要

目的评估惊恐障碍(PD)病因中自主神经系统功能障碍的方法之一是心率变异性(HRV)。HRV由自主神经系统的交感神经和迷走神经分支控制,反映了副交感神经系统对自主神经的刺激能力。本研究的目的是评估无任何其他医学和精神合并症的惊恐障碍(PD)患者24小时动态心电图分析的心率变异性(HRV)时域参数。方法研究组由41例PD患者和46例健康对照者组成。参与者用SCID-1进行精神诊断评估。然后应用汉密尔顿抑郁评定量表(HDRS)、汉密尔顿焦虑评定量表(HARS)、惊恐障碍严重程度量表(PDSS)和临床总体印象量表(CGI-S)。在计算机程序上分析24小时动态心电图结果并评估时域参数。结果HRV分析参数中,SDANN显著升高(p <0.001);PD组RMSSD持续时间、NN50、pNN50均低于对照组(p = 0.003、p = 0.005、p = 0.047)。在相关分析中,CGI-S与NN50、pNN50呈中度负相关。在logistic回归分析中,SDNN的增加使PD的概率增加1.11 (95% CI, 1.010-1.209);SDANN升高可使PD发生概率降低0.892 (95% CI, 0.818-0.973), pNN50升高可使PD发生概率降低0.523 (95% CI, 0.342-0.801)。结论本研究数据证实PD患者HRV参数RMSSD、NN50、pNN50等反映副交感神经活动的指标有所下降。
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Analysis of 24-Hour Heart Rate Variability among Panic Disorder Patients without Previous Drug Treatment and Comorbid Disorders.
OBJECTIVE One of the METHODS used to assess autonomic nervous system dysfunction in the etiology of panic disorder (PD) is heart rate variability (HRV). HRV is controlled by the sympathetic and parasympathetic (vagal) branches of the autonomic nervous system and reflects the capacity of autonomic stimulation by the parasympathetic system. The aim of this study was to evaluate heart rate variability (HRV) time domain parameters based on twenty four hour holter ECG analysis among drug-naive patients with panic disorder (PD) without any other medical and psychiatric comorbidity. METHOD The study group consisted of 41 patients with PD and 46 healthy controls. Participants were evaluated with SCID-1 for psychiatric diagnoses. Then Hamilton Depression Rating Scale (HDRS), Hamilton Anxiety Rating Scale (HARS), Panic Disorder Severity Scale (PDSS) and Clinical Global Impression Scale (CGI-S) were applied to participants. Twenty four hour Holter ECG outcomes were analyzed on a computer program and time domain parameters were evaluated. RESULTS Among the parameters analyzed from HRV, SDANN was significantly higher (p <0.001); duration of RMSSD, NN50 and pNN50 were lower in PD group than the control group (p = 0.003, p = 0.005, p = 0.047, respectively). In the correlation analysis, there was a moderate negative correlation between CGI-S and NN50 and pNN50. In logistic regression analysis, the increase in SDNN was found to increase the probability of PD by 1.11 (95% CI, 1.010-1.209); the increase in SDANN was found to decrease the probability of PD by 0.892 (95% CI, 0.818-0.973), and the increase in pNN50 was found to decrease the probability of PD by 0.523 (95% CI, 0.342-0.801). CONCLUSION The data obtained in our study confirm that there is a decrease in some HRV parameters like RMSSD, NN50 and pNN50 reflecting parasympathetic activity among patients with PD.
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